# HammerGPT/Hyper-Alpha-Arena

AI Trading platform for Hyperliquid & Binance Futures AI 自动交易平台，支持 Hyperliquid 和币安合约

Repository: https://github.com/HammerGPT/Hyper-Alpha-Arena
Canonical: https://ross.abutalabs.com/products/hyper-alpha-arena
Homepage: https://www.akooi.com/
Language: Python
License: Apache-2.0
License Family: permissive
Topics: ai-trading, automated-trading, hyperliquid, perpetual-futures, trading-bot, llm-cryptocurrency, binance
Last push: 2026-05-13T15:37:52+00:00

## Health v2 (maintenance only)
Score: 54/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 82, release rhythm 35, longevity 22
- inputs: {"age_days": 310, "days_push": 112, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1148, forks 279 (observed 2026-08-28T04:03:46.065326+00:00)

## What it is
A self-hosted AI-powered crypto trading platform for Hyperliquid and Binance Futures perpetual contracts. It combines LLM-driven trading agents with quantitative factor intelligence (86 built-in factors, custom expression engine) and market flow signal monitoring (CVD, OI, funding rate) to trigger automated trades.

## Use cases
- run an AI trading bot on Hyperliquid perpetual futures
- automate Binance Futures trading with LLM strategies
- paper trade crypto strategies on Hyperliquid testnet
- monitor CVD, open interest, and funding rate signals for auto-trading
- mine and validate quantitative trading factors with AI web research
- track PnL and asset curves across multiple exchange wallets
- set up no-code crypto trading strategies with AI-assisted configuration

## When to choose
- you want an open-source, self-hosted AI trading platform for crypto perpetuals
- you need both AI-driven and fixed-rule programmatic trading modes
- you want multi-exchange support (Hyperliquid + Binance Futures) with testnet and mainnet
- you prefer Docker one-click deployment and no coding to get started

## When to avoid
- you need spot trading or exchanges other than Hyperliquid and Binance
- you require guaranteed profits or low-risk automated trading - perpetual futures are high-risk
- you want a fully managed cloud service rather than self-hosting
- you need institutional-grade audited trading infrastructure

## Facets
- artifact type: application
- maturity: active
- function: trading, llm-inference, agent-framework, monitoring, analytics, charts, self-hosted
- domain: fintech, artificial-intelligence, large-language-models, analytics
- platform: self-hosted, python, cross-platform
- tags: crypto-trading, perpetual-futures, hyperliquid, binance-futures, trading-bot, quantitative-factors, market-flow-signals, paper-trading, risk-management, factor-mining, cryptocurrency, automation, docker, web-server

## Member repositories
- HammerGPT/Hyper-Alpha-Arena (main) score 54

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:46.065326+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:33:47.753292+00:00, confidence not recorded.
  - readme: https://github.com/HammerGPT/Hyper-Alpha-Arena (fetched 2026-08-28T04:03:46.065326+00:00, sha 41e21fd4989d)
  - homepage: https://www.akooi.com/ (fetched 2026-08-29T12:38:55.795756+00:00, sha 7bec9b35a13f)
  - site_page: https://www.akooi.com/docs (fetched 2026-08-29T12:38:55.804808+00:00, sha 07864b68d264)
- Data as of 2026-08-30T08:39:29.467469+00:00.